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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Machine learning at the service of meta-heuristics for solving combinatorial optimization problems: A state-of-the-art
Maryam Karimi-Mamaghan, Mehrdad Mohammadi, Patrick Meyer, et al.
European Journal of Operational Research (2021) Vol. 296, Iss. 2, pp. 393-422
Open Access | Times Cited: 278

Showing 1-25 of 278 citing articles:

Particle Swarm Optimization: A Comprehensive Survey
Tareq M. Shami, Ayman A. El‐Saleh, Mohammed Alswaitti, et al.
IEEE Access (2022) Vol. 10, pp. 10031-10061
Open Access | Times Cited: 640
Performance assessment and exhaustive listing of 500+ nature-inspired metaheuristic algorithms
Zhongqiang Ma, Guohua Wu, Ponnuthurai Nagaratnam Suganthan, et al.
Swarm and Evolutionary Computation (2023) Vol. 77, pp. 101248-101248
Open Access | Times Cited: 111
A review on the studies employing artificial bee colony algorithm to solve combinatorial optimization problems
Ebubekir Kaya, Beyza Görkemli, Bahriye Akay, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 115, pp. 105311-105311
Closed Access | Times Cited: 103
Dynamic pickup and delivery problem with transshipments and LIFO constraints
XU Xiao-feng, Zhifei Wei
Computers & Industrial Engineering (2022) Vol. 175, pp. 108835-108835
Closed Access | Times Cited: 87
Applications of machine learning methods in port operations – A systematic literature review
Siyavash Filom, Amir Mohammad Amiri, Saiedeh Razavi
Transportation Research Part E Logistics and Transportation Review (2022) Vol. 161, pp. 102722-102722
Closed Access | Times Cited: 80
A systematic review of multi-objective hybrid flow shop scheduling
Janis S. Neufeld, Sven Schulz, Udo Buscher
European Journal of Operational Research (2022) Vol. 309, Iss. 1, pp. 1-23
Open Access | Times Cited: 71
Learning to select operators in meta-heuristics: An integration of Q-learning into the iterated greedy algorithm for the permutation flowshop scheduling problem
Maryam Karimi-Mamaghan, Mehrdad Mohammadi, Bastien Pasdeloup, et al.
European Journal of Operational Research (2022) Vol. 304, Iss. 3, pp. 1296-1330
Open Access | Times Cited: 67
A reinforcement learning-based metaheuristic algorithm for solving global optimization problems
Amir Seyyedabbasi
Advances in Engineering Software (2023) Vol. 178, pp. 103411-103411
Closed Access | Times Cited: 60
Prospects and Challenges of the Machine Learning and Data-Driven Methods for the Predictive Analysis of Power Systems: A Review
Wadim Striełkowski, Andrey Vlasov, Kirill Selivanov, et al.
Energies (2023) Vol. 16, Iss. 10, pp. 4025-4025
Open Access | Times Cited: 51
An Iterative Greedy Algorithm With Q-Learning Mechanism for the Multiobjective Distributed No-Idle Permutation Flowshop Scheduling
Fuqing Zhao, Changxue Zhuang, Ling Wang, et al.
IEEE Transactions on Systems Man and Cybernetics Systems (2024) Vol. 54, Iss. 5, pp. 3207-3219
Closed Access | Times Cited: 25
A Q-learning memetic algorithm for energy-efficient heterogeneous distributed assembly permutation flowshop scheduling considering priorities
Cong Luo, Wenyin Gong, Fei Ming, et al.
Swarm and Evolutionary Computation (2024) Vol. 85, pp. 101497-101497
Closed Access | Times Cited: 19
Optimizing Rotary Cement Kiln modelling: A comparative analysis of metaheuristic in a real-world application
Miguel Ángel Castán-Lascorz, A. Moreno, J. Arroyo
Results in Engineering (2025), pp. 103945-103945
Open Access | Times Cited: 1
An adaptive artificial bee colony with reinforcement learning for distributed three-stage assembly scheduling with maintenance
Jing Wang, Deming Lei, Jingcao Cai
Applied Soft Computing (2021) Vol. 117, pp. 108371-108371
Closed Access | Times Cited: 78
Analytics and machine learning in vehicle routing research
Ruibin Bai, Xinan Chen, Zhi‐Long Chen, et al.
International Journal of Production Research (2021) Vol. 61, Iss. 1, pp. 4-30
Open Access | Times Cited: 67
Meta-heuristics for sustainable supply chain management: a review
Sohrab Faramarzi-Oghani, Parisa Dolati Neghabadi, El‐Ghazali Talbi, et al.
International Journal of Production Research (2022) Vol. 61, Iss. 6, pp. 1979-2009
Closed Access | Times Cited: 65
An Overview and Experimental Study of Learning-Based Optimization Algorithms for the Vehicle Routing Problem
Bingjie Li, Guohua Wu, Yong‐Ming He, et al.
IEEE/CAA Journal of Automatica Sinica (2022) Vol. 9, Iss. 7, pp. 1115-1138
Open Access | Times Cited: 64
Deep reinforcement learning for the dynamic and uncertain vehicle routing problem
Weixu Pan, Shi Qiang Liu
Applied Intelligence (2022) Vol. 53, Iss. 1, pp. 405-422
Closed Access | Times Cited: 59
Sustainable energies and machine learning: An organized review of recent applications and challenges
Pouya Ifaei, Morteza Nazari‐Heris, Amir Saman Tayerani Charmchi, et al.
Energy (2022) Vol. 266, pp. 126432-126432
Closed Access | Times Cited: 46
Bi‐objective optimization of a stochastic resilient vaccine distribution network in the context of the COVID‐19 pandemic
Mehrdad Mohammadi, Milad Dehghan, Amir Pirayesh, et al.
Omega (2022) Vol. 113, pp. 102725-102725
Open Access | Times Cited: 39
A Cooperative Scatter Search With Reinforcement Learning Mechanism for the Distributed Permutation Flowshop Scheduling Problem With Sequence-Dependent Setup Times
Fuqing Zhao, Gang Zhou, Ling Wang
IEEE Transactions on Systems Man and Cybernetics Systems (2023) Vol. 53, Iss. 8, pp. 4899-4911
Closed Access | Times Cited: 37
Metaheuristics for bilevel optimization: A comprehensive review
José‐Fernando Camacho‐Vallejo, Carlos Corpus, Juan G. Villegas
Computers & Operations Research (2023) Vol. 161, pp. 106410-106410
Closed Access | Times Cited: 37
Multi-objective energy-efficient hybrid flow shop scheduling using Q-learning and GVNS driven NSGA-II
Peize Li, Qiang Xue, Ziteng Zhang, et al.
Computers & Operations Research (2023) Vol. 159, pp. 106360-106360
Closed Access | Times Cited: 34
Machine Learning and Genetic Algorithms: A case study on image reconstruction
Claudia Cavallaro, Vincenzo Cutello, Mario Pavone, et al.
Knowledge-Based Systems (2023) Vol. 284, pp. 111194-111194
Closed Access | Times Cited: 24
Hyper-heuristics: A survey and taxonomy
Tansel Dökeroğlu, Tayfun Küçükyılmaz, El‐Ghazali Talbi
Computers & Industrial Engineering (2023) Vol. 187, pp. 109815-109815
Open Access | Times Cited: 21
Fifty years of metaheuristics
Rafael Martı́, Marc Sevaux, Kenneth Sörensen
European Journal of Operational Research (2024) Vol. 321, Iss. 2, pp. 345-362
Open Access | Times Cited: 13
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